Predictability Assessment and Improving Ensemble Forecasts
ARIZONA UNIV TUCSON DEPT OF ATMOSPHERIC SCIENCES
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The PI and Co-I are examining mesoscale predictability with the goal of improving the utility of ensemble forecasts at ranges of 12 hours to 10 days. Our research addresses the issues of initial condition uncertainty ICU for mesoscale analyses, calibration of output from ensemble prediction systems EPSs by artificial neural networks, and predictability estimates for precipitation and processes that strongly influence precipitation. The PI also serves as Chief Scientist to Dr. Scott Sandgathe for ONR initiative on Predictability in the Atmosphere and Ocean.
- Numerical Mathematics